| library_name: peft | |
| base_model: meta-llama/Llama-2-13b-hf | |
| ## Training procedure | |
| The following `bitsandbytes` quantization config was used during training: | |
| - quant_method: bitsandbytes | |
| - load_in_8bit: False | |
| - load_in_4bit: True | |
| - llm_int8_threshold: 6.0 | |
| - llm_int8_skip_modules: None | |
| - llm_int8_enable_fp32_cpu_offload: False | |
| - llm_int8_has_fp16_weight: False | |
| - bnb_4bit_quant_type: nf4 | |
| - bnb_4bit_use_double_quant: True | |
| - bnb_4bit_compute_dtype: bfloat16 | |
| ### Framework versions | |
| - PEFT 0.4.0 | |
| # [Open LLM Leaderboard Evaluation Results](https://huggingface.co./spaces/HuggingFaceH4/open_llm_leaderboard) | |
| Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_dhmeltzer__Llama-2-13b-hf-ds_eli5_1024_r_64_alpha_16) | |
| | Metric | Value | | |
| |-----------------------|---------------------------| | |
| | Avg. | 48.08 | | |
| | ARC (25-shot) | 60.41 | | |
| | HellaSwag (10-shot) | 82.58 | | |
| | MMLU (5-shot) | 55.86 | | |
| | TruthfulQA (0-shot) | 43.61 | | |
| | Winogrande (5-shot) | 76.72 | | |
| | GSM8K (5-shot) | 8.49 | | |
| | DROP (3-shot) | 8.92 | | |